Download Advances in Visual Computing: 8th International Symposium, by Heinz Hofbauer, Christian Rathgeb, Andreas Uhl, Peter Wild PDF

By Heinz Hofbauer, Christian Rathgeb, Andreas Uhl, Peter Wild (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen Schulze, Daniel Acevedo, Klaus Mueller, Michael Papka (eds.)

The quantity set LNCS 7431 and 7432 constitutes the refereed court cases of the eighth overseas Symposium on visible Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The sixty eight revised complete papers and 35 poster papers provided including forty five exact tune papers have been conscientiously reviewed and chosen from greater than two hundred submissions. The papers are equipped in topical sections: half I (LNCS 7431) includes computational bioimaging; special effects; calibration and 3D imaginative and prescient; item acceptance; illumination, modeling, and segmentation; visualization; 3D mapping, modeling and floor reconstruction; movement and monitoring; optimization for imaginative and prescient, images, and clinical imaging, HCI and popularity. half II (LNCS 7432) includes subject matters equivalent to unconstrained biometrics: advances and developments; clever environments: algorithms and purposes; functions; digital truth; face processing and recognition.

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Extra resources for Advances in Visual Computing: 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part II

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Marcos Balsa Rodr´ıguez and Pere Pau V´ azquez Alcocer 708 Real-Time Visualization of a Sparse Parametric Mixture Model for BTF Rendering . . . . . . . . . . . . . . . . . . . . . . . . Nuno Silva, Lu´ıs Paulo Santos, and Donald Fussell 719 Author Index . . . . . . . . . . . . . . . . . . . . . . . . . at Abstract. Traditional iris recognition is based on computing efficiently coded representations of discriminative features of the human iris and employing Hamming Distance (HD) as fast and simple metric for biometric comparison in feature space.

13] identify the problem of feature-based iris recognition being highly dependent on the feature extraction process varying based on environmental factors, which can be avoided by computing features in the image domain. The authors suggest to apply 2D Fourier Phase components of iris images. This scheme is extended by Krichen et al. e. wavelet instead of Fourier coefficients) phase-correlation-based iris matching directly on enhanced (using adaptive histogram equalization) iris textures for unconstrained acquisition procedures.

Kun Liu and Rhaleb Zayer 126 Guided Sampling in Multiple View Robust Motion Estimation Using Regression Diagnostics . . . . . . . . . . . . . . . . . . . . . . Houman Rastgar, Eric Dubois, and Liang Zhang 138 Hand Shape and 3D Pose Estimation Using Depth Data from a Single Cluttered Frame . . . . . . . . . . . . . . . . . . . . . . . . . Paul Doliotis, Vassilis Athitsos, Dimitrios Kosmopoulos, and Stavros Perantonis 148 Fusing Low-Resolution Depth Maps into High-Resolution Stereo Matching .

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